Ergodicity of filtering process by vanishing discount approach
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[1] Kellen Petersen August. Real Analysis , 2009 .
[2] Anna Jaskiewicz,et al. Zero-Sum Ergodic Stochastic Games with Feller Transition Probabilities , 2006, SIAM J. Control. Optim..
[3] Tyrone E. Duncan,et al. Ergodic and adaptive control of hidden Markov models , 2005, Math. Methods Oper. Res..
[4] A. Doucet,et al. Exponential forgetting and geometric ergodicity for optimal filtering in general state-space models , 2005 .
[5] Lukasz Stettner,et al. Ergodicity of hidden Markov models , 2005, Math. Control. Signals Syst..
[6] V. Borkar,et al. A further remark on dynamic programming for partially observed Markov processes , 2004 .
[7] R. Liptser,et al. Stability of nonlinear filters in nonmixing case , 2003, math/0304056.
[8] R. Liptser,et al. Asymptotic Stability of the Wonham Filter: Ergodic and Nonergodic Signals , 2002, SIAM J. Control. Optim..
[9] F. Gland,et al. STABILITY AND UNIFORM APPROXIMATION OF NONLINEAR FILTERS USING THE HILBERT METRIC AND APPLICATION TO PARTICLE FILTERS1 , 2004 .
[10] L. Stettner,et al. Risk sensitive control of discrete time partially observed Markov processes with infinite horizon , 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).
[11] R. Atar,et al. Exponential stability for nonlinear filtering , 1997 .
[12] L. Stettner,et al. Approximations of discrete time partially observed control problems , 1994 .
[13] Manfred Schäl,et al. Average Optimality in Dynamic Programming with General State Space , 1993, Math. Oper. Res..
[14] Ł. Stettner. Ergodic control of partially observed Markov processes with equivalent transition probabilities , 1993 .
[15] L. Rogers. Stochastic differential equations and diffusion processes: Nobuyuki Ikeda and Shinzo Watanabe North-Holland, Amsterdam, 1981, xiv + 464 pages, Dfl.175.00 , 1982 .
[16] G. Kallianpur. Stochastic differential equations and diffusion processes , 1981 .
[17] H. Kunita. Asymptotic behavior of the nonlinear filtering errors of Markov processes , 1971 .
[18] H. Scheffé. A Useful Convergence Theorem for Probability Distributions , 1947 .
[19] S. Kakutani. Ergodic theorems and the Markoff process with a stable distribution , 1940 .